This is text editor for .pickle files. It is meant for python developers. This program is like My_Diary but only for .pickle files.

This project focuses on modelling industrial copper data using Python and various libraries such as pandas, numpy, scikit-learn

This Bangalore house price prediction project is simple linear regression based which accuracy is about to 70% . not much customized model it is .simple to to implement our technique.

AQI Delhi pm25 Forecasting for next 24 hours from last three months Delhi Meteorology Department data.

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

This is a Fertilizer Forecasting tool or an app, which predicts an optimal fertilizer from the collected soil and other depending factors. The tool is developed machine learning algorithms, streamlit-webapp. and streamlit-cloud.

Developed a Spam/Email Detector utilizing TF-IDF and Bernoulli Naive Bayes (BNB). Leveraged TF-IDF for text representation and BNB for classification, ensuring efficient detection of spam emails based on their content.

In this repository, I am working on various machine-learning models and trying to deploy the website for the same.

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

Spam Email Detection:NLP Project using NLTK

Machine Learning Academic Project

Predicts whether a person will churn or not based on historical customer data.

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).

Iris flower classification using decision tree classifier

Using Logistic Regression with RandomizedSearchCV Hyperparameter Tuning to find out whether a student gets placement or not.

Random Forest ML model implemented with a front end Flask API for a bank note authenticator application.

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."